Python Experts in Nuremberg

• Fine-tuned and evaluated alternative backbone architectures for the AFFGAN handwriting style encoder to better capture writer-specific features, benchmarking against the original baseline architecture and replacing the legacy VGG19 architecture with a custom Transformer-based encoder.
• Extended the system beyond word-level synthesis to line-level handwriting generation, integrating and adapting an existing line-generation architecture to support full-sentence output.
• Deployed the handwriting generation pipeline as a web application, enabling users to select a writing style, input custom text, and instantly generate a corresponding handwriting image.
• Integrated TrOCR into a teacher–student distillation framework to evaluate and improve readability of generated handwriting, improving OCR accuracy by 20% over the baseline.
• Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.

Tech: PyTorch, Python, GANs, CNN, ViT, TrOCR, Streamlit, CUDA.

• IT consulting
• Power Platform & Databricks
• AI software development (custom software)
• Commercial responsibility for the company

• Pioneering work in personalized AI: developing a framework for “Interactive Content” (RAG) for novels, lectures, expert debriefing
• Successful launch of Einbug, the Pantopia chatbot, with media coverage (SZ interview)
• Creating compelling AI personalities: AI blog ([link] 100% personalized learning environments, Perry Rhodan, among others.

• Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
• Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
• Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
• Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
• Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
• Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
• Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
• Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.

• Introduction of Agile-CCPM in an IT project agency with a focus on PHP-based content management systems.
• Preparation and facilitation of workshops to establish a cross-agency multi-project management system.
• Coordination and support of the agency partners.
• Coaching of the methodological framework.
• Collection, evaluation, and use of organizational metrics to plan next steps.
• Environment: OKR, CCPM, Agile Coaching, Agile Planning, Agile Metrics, Workshops, Facilitation, Change Management, JIRA, Zoom, Slack, Miro.

• Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
• Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
• Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
• Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
• Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
• Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.

• Lead software architect and technical team lead for a new logistics platform for load carrier trade
• Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
• Evaluation of initial business requirements and software development roadmap
• Technical team lead in a Scrum team of 9 people
• Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development

• Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
• Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
• Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
• Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
• Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib

• Thorough process analysis to identify weaknesses and assess optimization potential

• Precise modeling of business processes using BPMN 2.0

• Creation of detailed requirements and functional specifications to document use cases

• Comprehensive gathering of existing company processes

• In-depth process analyses to uncover potentials

• Moderation and facilitation of workshops with subject matter experts and executives

• Taking on project management for selecting and implementing a new ETRM system environment

• Development of strategies, processes and system requirements to further develop the lead and campaign streams of a Salesforce system for the subsystems Sales Cloud, Marketing Cloud and Analytics Cloud
• Gathering and creation of marketing strategy concepts for direct sales, focusing on lead generation for new and existing customers
• Analysis and optimization of existing and new contact points
• Derivation of system requirements and user tests for new developments
• Establishment of a requirements and implementation process for business needs at the interface between CRM strategy and marketing system operations
• Facilitation of ideation workshops with the project's stakeholders
• Mediation between business and technical project stakeholders
• Analysis and post-documentation of existing marketing strategies and the system functions already created for them
• Analysis of target groups and pre-system data quality as a foundation for new CRM strategies
• Consultation on content and asset strategy for marketing campaigns
• Definition of KPIs and other performance criteria for the system and CRM strategy

• Analysis of the role of marriage as an informal insurance in Germany using econometric methods (supervisor: Prof. Dr. Harald Tauchmann).
• Prepared and cleaned multiple panel datasets and extracted relevant variables to create a final panel dataset with over 36,000 observations (2006–2020, SOEP).
• Designed an IV model in Stata to examine the causal link between couple separation and health shocks (mental/physical).
• Conducted robustness checks to ensure stability and validity of the results.

• Supported a telematics component in the automotive sector with SELinux and open-source license management.
• Products: SELinux, iMX8, ScanCode.
• Skills: Linux, firmware development, Python.

• Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
• Analysis, design, development, and testing of new requirements for Optimmo, construction financing software.
• Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
• Analysis, design, development, and testing of the Wicket Optimmo application.
• Analysis, design, development, and testing of kredit-baufi batch programs.
• Migration of kredit-baufi batches to RHEL9.
• CiL SCS Consumer Pacts with Finagle.
• CiL ScS Touch Point Architecture Integration.
• Team size: 10.
• Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, Gitlab, JIRA, Confluence, git, Spring 6.0, Sping Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, Intellij IDEA, Wicket 9 and 10, Istio.

• Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
• Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.